Create a plot of the data in the clipboard AS STRING. The plot can be used as a normal string in comments, bloc-notes, ...
Project description
Introduction
This sample package contain just one function "plot", this function can plot a numerical data x,y as a string
The string plot can be helpful to be used in comments, on in bloc-notes, ...
The plot is a normal string that can be used anywhere
see the below example: Price of the BTC plot as string
# You can put the code her
# Below the plot as a comments
'''
Price of the BTC: January 2023, High, finance.yahoo
High price (USD)
----------------------------------------------**-|2.51e+04
| ***|
| * ****|
| * ** *** ****|
| * *** ******** ** ****|
| ******************** ****|2.30e+04
| ********************* ****|
| ********************* * *****|
| * ******************************|
| **********************************|
| ************************************|2.09e+04
| ************************************|
| *************************************|
| *************************************|
| **************************************|
| **************************************|1.88e+04
| **************************************|
| ***************************************|
| *****************************************|
| **********************************************|
*************************************************|1.66e+04
¦1.00e+00 ¦1.30e+01 ¦2.50e+01 ¦3.70e+01 ¦4.90e+01
Day of January 2023
'''
# Example of code line
a=None
Installation
PyPi installation
!pip install plotstring
Installation form github
Download the zip from https://github.com/bouz1/Plot_AS_String and unzip the file
Or clone the reposotory in local by the cmd: git clone https://github.com/bouz1/Plot_AS_String.git
Run cmd in the folder that contain the setup.py
Excute the cmd: pip install .
Libraries
# The main library : plotstring
from plotstring import plot
# Other libraries to test plotstring
import numpy as np
import pandas as pd
import pyperclip
Using of the function "plot"
Help
you can use Help to see the function description
help(plot)
Help on function plot in module plotstring:
plot(df=None, Nx=80, Ny=32, title='Title', xlabel=None, ylabel=None, print_str=True, return_str=True, copy_out_clipbrd=True, markers='*', N_grid=2, bar=False, x_int=False)
Create a plot of the data in the clipboard AS STRING.
The plot can be used as a normal string in comments, bloc-notes, ...
:param df: DataFrame, optional
The DataFrame to plot. If not provided, the function reads from the clipboard.
:param Nx: int, optional
The number of horizontal pixels in the plot.
:param Ny: int, optional
The number of vertical pixels in the plot.
:param title: str, optional
The title of the plot.
:param xlabel: str, optional
The label for the x-axis. if not provided, the function will use df columns.
:param ylabel: str, optional
The label for the y-axis. if not provided, the function will use df columns.
:param print_str: bool, optional
Whether to print the plot as a string.
:param return_str: bool, optional
Whether to return the plot as a string.
:param copy_out_clipbrd: bool, optional
Whether to copy the plot to the clipboard.
:param markers: str, optional
The marker to use for the plot.
:param N_grid: int, optional
The number of grid lines to use.
:param bar: bool, optional
Whether to use a bar plot instead of a line plot.
:param x_int: bool, optional
Whether the x is an integer or not.
:return: None or str
If `print_str` is True, the plot is printed as a string. If `return_str` is True, the plot is returned as a string. Otherwise, None is returned.
Use plot by passing a DataFrame
In this first example, the plot function use a dataFrame as input
Prepare data to test the plot function
x=np.arange(0,360,10)
y=np.sin(x*np.pi/180)
df=pd.DataFrame(zip(x,y),columns=['angle','sin_angle'])
df.head()
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
| angle | sin_angle | |
|---|---|---|
| 0 | 0 | 0.000000 |
| 1 | 10 | 0.173648 |
| 2 | 20 | 0.342020 |
| 3 | 30 | 0.500000 |
| 4 | 40 | 0.642788 |
Use our funciton plot with a dataFrame as input
output_string=plot(df)
Title
sin_angle
------------------*--*-*---------------------------------------------------------|1.00e+00
| * * | |
| * * | |
| | |
| * * | |
| | |
| * * | |
| | |
| * * | |5.00e-01
| | |
| | |
| * * | |
| | |
| * *| |
| | |
| | |
*----------------------------------------*---------------------------------------|0.00e+00
| | |
| | |
| | * *|
| | |
| | * * |
| | |
| | |
| | * * |-5.00e-01
| | |
| | * * |
| | |
| | * * |
| | |
| | * * |
| | * * |
-----------------------------------------------------------*--*-*----------------|-1.00e+00
¦0.00e+00 ¦8.75e+01 ¦1.75e+02 ¦2.62e+02 ¦3.50e+02
angle
use plot by CTRL + C
In this second example, the plot function can use directly the data in your clipboard,
you can for example copy the data directly from an excel file, and run the plot function to plot your data
Example of the data that you can copy in your clipboard using simply the habitual keys CTRL+C
string = '''angle sin_angle
-90 6.12E-17
-80 1.74E-01
-70 3.42E-01
-60 5.00E-01
-50 6.43E-01
-40 7.66E-01
-30 8.66E-01
-20 9.40E-01
-10 9.85E-01
0 1.00E+00
10 9.85E-01
20 9.40E-01
30 8.66E-01
40 7.66E-01
50 6.43E-01
60 5.00E-01
70 3.42E-01
80 1.74E-01
90 6.12E-17'''
You can copy the above data, but for this example we will use pyperclip.copy to copy the string by code (this can be helpful if we run the entire notebook)
pyperclip.copy(string)
# Plot the copied data
output_string=plot()
Title
sin_angle
------------------------------------*---*---*------------------------------------|1.00e+00
| | |
| * | * |
| | |
| * | * |
| | |
| | |
| * | * |
| | |7.50e-01
| | |
| | |
| * | * |
| | |
| | |
| | |
| | |
-------------*-----------------------------------------------------*-------------|5.00e-01
| | |
| | |
| | |
| | |
| * | * |
| | |
| | |
| | |2.50e-01
| | |
| * | * |
| | |
| | |
| | |
| | |
| | |
*-------------------------------------------------------------------------------*|6.12e-17
¦-9.00e+01 ¦-4.50e+01 ¦0.00e+00 ¦4.50e+01 ¦9.00e+01
angle
Other parameters of the plot function
Prepare data for this third example
x=np.arange(-3,3.2,0.2)
y=np.exp(-(x**2))
df=pd.DataFrame(zip(x,y),columns=['angle','Norm PDF'])
The plot data with all parameters
Without returning the string, and without copying the string in the clipboard
plot(df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
title='PDF' , # The title of the plot.
xlabel='X axis', # The label for the x-axis. if not provided, the function will use df columns.
ylabel='y axis', # The label for the y-axis. if not provided, the function will use df columns.
print_str=True, # Whether to print the plot as a string.
return_str=False, # Whether to return the plot as a string.
copy_out_clipbrd=False, # Whether to copy the plot to the clipboard.
markers='*', # The marker to use for the plot.
N_grid=1, # The number of grid lines to use.
bar=True, # Whether to use a bar plot instead of a line plot.
x_int=False # Whether the x is an integer or not
)
PDF
y axis
----------------------------------------*----------------------------------------|1.00e+00
| * * * |
| * * * |
| * * * * * |
| * * * * * |
| * * * * * |7.50e-01
| * * * * * * * |
| * * * * * * * |
| * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * |5.00e-01
| * * * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * * * |2.50e-01
| * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * * * |
*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*|1.23e-04
¦-3.00e+00 ¦-1.50e+00 ¦0.00e+00 ¦1.50e+00 ¦3.00e+00
X axis
Without printing the string, and without copying the string in the clipboard, the function will return the string
str_out=plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
title='PDF' , # The title of the plot.
xlabel='X axis', # The label for the x-axis. if not provided, the function will use df columns.
ylabel='y axis', # The label for the y-axis. if not provided, the function will use df columns.
print_str=False, # Whether to print the plot as a string.
return_str=True, # Whether to return the plot as a string.
copy_out_clipbrd=False, # Whether to copy the plot to the clipboard.
markers='*', # The marker to use for the plot.
N_grid=1, # The number of grid lines to use.
bar=True, # Whether to use a bar plot instead of a line plot.
x_int=False # Whether the x is an integer or not
)
you can use the retuned string
print(str_out)
PDF
y axis
----------------------------------------*----------------------------------------|1.00e+00
| * * * |
| * * * |
| * * * * * |
| * * * * * |
| * * * * * |7.50e-01
| * * * * * * * |
| * * * * * * * |
| * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * |5.00e-01
| * * * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * * * |2.50e-01
| * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * * * |
*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*|1.23e-04
¦-3.00e+00 ¦-1.50e+00 ¦0.00e+00 ¦1.50e+00 ¦3.00e+00
X axis
Without printing the string, and without returning the string in the clipboard, the function will copy the string in your clipboard
plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
title='PDF' , # The title of the plot.
xlabel='X axis', # The label for the x-axis. if not provided, the function will use df columns.
ylabel='y axis', # The label for the y-axis. if not provided, the function will use df columns.
print_str=False, # Whether to print the plot as a string.
return_str=False, # Whether to return the plot as a string.
copy_out_clipbrd=True, # Whether to copy the plot to the clipboard.
#markers='*', # The marker to use for the plot.
N_grid=1, # The number of grid lines to use.
bar=True # Whether to use a bar plot instead of a line plot.
)
You can past the string anywhere, you can ofcore use the keys CTRL + V to paste the string, example of pasting
'''
PDF
y axis
----------------------------------------*----------------------------------------|1.00e+00
| * * * |
| * * * |
| * * * * * |
| * * * * * |
| * * * * * |7.50e-01
| * * * * * * * |
| * * * * * * * |
| * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * |5.00e-01
| * * * * * * * * * |
| * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * |
| * * * * * * * * * * * * * |2.50e-01
| * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * |
| * * * * * * * * * * * * * * * * * * * |
*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*--*-*--*|1.23e-04
¦-3.00e+00 ¦-1.50e+00 ¦0.00e+00 ¦1.50e+00 ¦3.00e+00
X axis
'''
_=0
You can chnage Nx, Ny
_=plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=20, # The number of horizontal pixels in the plot.
Ny=10 # The number of vertical pixels in the plot.
)
Title
Norm PDF
---------***---------|1.00e+00
| *|* |
| | |8.00e-01
| * | * |
| | |6.00e-01
-------*-----*-------|
| * | * |4.00e-01
| | |
| * | * |2.00e-01
| * | * |
*****-----------*****|1.23e-04
¦-3.0¦-1.5¦0.00¦1.50e+00¦3.00e+00
angle
You can change the number of grid lines "N_grid", trick: preferably you can use N_grid as common divisor of Nx, Ny
_=plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
N_grid=5, # The number of grid lines to use.
)
Title
Norm PDF
----------------------------------------*----------------------------------------|1.00e+00
| | | * * | | |
| | | | | |
| | | * * | | |
---------------------------------------------------------------------------------|
| | | | | |7.50e-01
| | * * | |
| | | | | |
---------------------------------------------------------------------------------|
| | * | | * | |
| | | | | |5.00e-01
| | | | | |
---------------------------------------------------------------------------------|
| | * | | * | |
| | | | | |
| | * | | * | |2.50e-01
---------------------------------------------------------------------------------|
| | * | | * | |
| | * | | * | |
| * | | * |
*--*-*--*--*-*-----------------------------------------------------*-*--*--*-*--*|1.23e-04
¦-3.00e+00 ¦-1.50e+00 ¦0.00e+00 ¦1.50e+00 ¦3.00e+00
angle
X as integer
_=plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
N_grid=5, # The number of grid lines to use.
x_int=True # Whether the x is an integer or not
)
Title
Norm PDF
----------------------------------------*----------------------------------------|1.00e+00
| | | * * | | |
| | | | | |
| | | * * | | |
---------------------------------------------------------------------------------|
| | | | | |7.50e-01
| | * * | |
| | | | | |
---------------------------------------------------------------------------------|
| | * | | * | |
| | | | | |5.00e-01
| | | | | |
---------------------------------------------------------------------------------|
| | * | | * | |
| | | | | |
| | * | | * | |2.50e-01
---------------------------------------------------------------------------------|
| | * | | * | |
| | * | | * | |
| * | | * |
*--*-*--*--*-*-----------------------------------------------------*-*--*--*-*--*|1.23e-04
¦-3 ¦-1 ¦0 ¦1 ¦3
angle
Change the markers
_=plot(
df, #The DataFrame to plot. If not provided, the function reads from the clipboard.
Nx=80, # The number of horizontal pixels in the plot.
Ny=20, # The number of vertical pixels in the plot.
N_grid=1, # The number of grid lines to use.
markers='|', # The marker to use for the plot.
bar=True, # Whether to use a bar plot instead of a line plot.
x_int=False # Whether the x is an integer or not
)
Title
Norm PDF
----------------------------------------|----------------------------------------|1.00e+00
| | | | |
| | | | |
| | | | | | |
| | | | | | |
| | | | | | |7.50e-01
| | | | | | | | |
| | | | | | | | |
| | | | | | | | |
| | | | | | | | | | |
| | | | | | | | | | |5.00e-01
| | | | | | | | | | |
| | | | | | | | | | |
| | | | | | | | | | | | |
| | | | | | | | | | | | |
| | | | | | | | | | | | | | |2.50e-01
| | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | |
|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--|--|-|--||1.23e-04
¦-3.00e+00 ¦-1.50e+00 ¦0.00e+00 ¦1.50e+00 ¦3.00e+00
angle
BTC price
s='''Day High
1 16630.43945
2 16759.34375
3 16760.44727
4 16964.58594
5 16884.02148
6 16991.99414
7 16975.01758
8 17091.14453
9 17389.95703
10 17484.7207
11 17934.89648
12 19030.08789
13 19964.32227
14 21075.14258
15 20993.74805
16 21360.875
17 21438.66016
18 21564.50195
19 21163.01172
20 22692.35742
21 23282.34766
22 23056.73047
23 23126.48633
24 23134.01172
25 23722.09961
26 23237.07813
27 23417.7207
28 23165.89648
29 23919.89063
30 23789.34766
31 23225.02148
32 23764.53906
33 24167.21094
34 23678.10352
35 23556.94922
36 23423.43555
37 23119.2793
38 23310.97461
39 23367.95898
40 22996.4375
41 21941.18555
42 21891.41016
43 22060.99414
44 21898.41406
45 22293.14063
46 24307.8418
47 25134.11719
48 24924.04102
49 24798.83594'''
pyperclip.copy(s)
_=plot(bar=True,Nx=48,Ny=20,N_grid=1,
title='Price of the BTC: January 2023, High, finance.yahoo',
xlabel='Day of January 2023',ylabel='High price (USD)',x_int=True)
Price of the BTC: January 2023, High, finance.yahoo
High price (USD)
----------------------------------------------**-|2.51e+04
| ***|
| * ****|
| * ** *** ****|
| * *** ******** ** ****|
| ******************** ****|2.30e+04
| ********************* ****|
| ********************* * *****|
| * ******************************|
| **********************************|
| ************************************|2.09e+04
| ************************************|
| *************************************|
| *************************************|
| **************************************|
| **************************************|1.88e+04
| **************************************|
| ***************************************|
| *****************************************|
| **********************************************|
*************************************************|1.66e+04
¦1 ¦13 ¦25 ¦37 ¦49
Day of January 2023
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| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 124662e4a95d973e8e87be613aa8685330be9c7572bcda5f1146f4af17c9d116 |
|
| MD5 | bc1ae7342cbed79b53fa3b6ffb582fc1 |
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| BLAKE2b-256 | 6e3acdec99c78ae4000ccbd24846406e51136485a843f90b0b788572bd7f8be0 |
