CODEWITHSUNDEEP
pythoncsvdataframegraphics
Mhmd Qadi
Mhmd Qadi

Reputation: 47

dates from csv files , how can i graph it

I am new in using python.
I am trying to graph 2 variables in Y1 and Y2 (secondary y axis) , and the date in the x axis from a csv file.

I think my main problem is with converting the date in csv.

Moreover is it possible to save the 3 graphs according to the ID (A,B,C)... Thanks a lot.

I added the CSV file that I have and an image of the figure that i am looking for.

Thanks a lot for your advice 

ID  date    Y1  Y2 
A   40480   136 83
A   41234   173 23
A   41395   180 29
A   41458   124 60
A   41861   158 27
A   42441   152 26
A   43009   155 51
A   43198   154 38
B   40409   185 71
B   40612   156 36
B   40628   165 39
B   40989   139 77
B   41346   138 20
B   41558   132 85
B   41872   157 58
B   41992   120 91
B   42245   139 43
B   42397   131 34
B   42745   114 68
C   40711   110 68
C   40837   156 38
C   40946   110 63
C   41186   161 46
C   41243   187 20
C   41494   122 55
C   41970   103 19
C   42183   148 78
C   42247   115 33
C   42435   132 92
C   42720   187 43
C   43228   127 28
C   43426   183 45

graph expected

Upvotes: 1

Views: 751

Answers (2)

Ingo
Ingo

Reputation: 1263

If I understand you correctly, you are looking for three separate graphs for ID=A, ID=B, ID=C. Here is how you could get that:

import pandas as pd
import pylab as plt

data = pd.read_csv('data.dat', sep='\t')  # read your datafile, you might have a different name here

for i, (label, subset) in enumerate(data.groupby('ID')):
    plt.subplot(131+i)
    plt.plot(subset['date'], subset['Y1'])
    plt.plot(subset['date'], subset['Y2'], 'o')
    plt.title('ID: {}'.format(label))
plt.show()

Note that this treats your dates as integers (same as in the datafile).

Upvotes: 1

DeshDeep Singh
DeshDeep Singh

Reputation: 1843

Try the matplotlib library, if i understood right, it should work.

from mpl_toolkits import mplot3d
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()

ax = plt.axes(projection='3d')

Data for a three-dimensional line

zaxis = y1
xaxis = date
yaxis = y2
ax.plot3D(xaxis, yaxis, zaxis, 'red')

Data for three-dimensional scattered points

zdat = y1
xdat = date
ydat = y2
ax.scatter3D(xdat, ydat, zdat, c=xdat, cmap='Greens')

Upvotes: 1

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