Axes messed up trying to plot temporal series with matplotlib

user_17518053 0
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I've got an issue when trying to plot two temporal series with Matplotlib. The temporal series should share the same y-axis/scale since it's supposed to be a comparison on modeled and measured values. However, when plotting, it seems that the y and x scales are getting messed up:

Graph of one month of my data

Here is the code associated:

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt

#import des données
Data=pd.read_csv('Filepath/Recept_41R001.csv', sep=';')
Data['Date']=pd.to_datetime(Data['Date'])
Data.sort_values(by='Date')
Data.set_index('Date', inplace=True)

Data01=Data['2018-01-01 00:00:00':'2018-01-31 23:00:00']

fig, ax=plt.subplots()
ax.plot(recept0101.index, recept0101['NO2_Mod'])
ax.plot(recept0101.index, recept0101['NO2_Mes'])
ax.set_xlabel('Time')
ax.set_ylabel('NO2 µg/m3')
ax.set_title('NO2 Modeled vs Mesured 01-2018')
ax.legend(['Modeled NO2','Mesured NO2'])
plt.show()
  • I've checked my data for the problematic time indexes and nothing seems to indicate a problem related to the data
  • The issue is the same regardless of the month I try to plot
  • Even excel recognises the data as float
  • The issue is still there when I try to set_ylim
  • I ran the code on IDLE (Python 3.9) and Visual Studio Code
time-series matplotlib python
1 Answers

Try to put

ax.plot(recept0101.index, recept0101['NO2_Mod'], linestyle='--')

ax.plot(recept0101.index, recept0101['NO2_Mes']),linestyle='--')
user_148325220
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