CODEWITHSUNDEEP
pythonmatplotlibplot
mmulibra
mmulibra

Reputation: 345

Display datetime as day for xtick

I have the following sample codes:

import pandas as pd
import matplotlib.pyplot as plt
dates = ['01/02/2007 00:02:00','01/02/2007 00:04:00','02/02/2007 
00:02:00','02/02/2007 00:04:00']
x = pd.to_datetime(dates, format='%d/%m/%Y %H:%M:%S')
y = [0.32,0.33,0.32,0.34]
plt.plot(x,y)

I would like to have the xtick to be just 'Thu' for 01/02/2007 and 'Fri' for 02/02/2007. What is the best possible way to do that?

Upvotes: 1

Views: 52

Answers (2)

eyllanesc
eyllanesc

Reputation: 244369

One possible solution is to change the X-axis format:

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdates

dates = ['01/02/2007 00:02:00','01/02/2007 00:04:00','02/02/2007 00:02:00','02/02/2007 00:04:00']
x = pd.to_datetime(dates, format='%d/%m/%Y %H:%M:%S')
y = [0.32,0.33,0.32,0.34]

fig, ax = plt.subplots()

ax.plot(x,y)

yearsFmt = mdates.DateFormatter('%a')
ax.xaxis.set_major_formatter(yearsFmt)
plt.show()

enter image description here

Upvotes: 1

Nipun Batra
Nipun Batra

Reputation: 11387

The key idea is to get the dayofweek from the DateTime object, like: x.dayofweek. This returns the numeric dayofweek. We can easily get the corresponding name np.array(['Mon','Tue','Wed','Thu','Fri','Sat', 'Sun'])[x.dayofweek]

import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
dates = ['01/02/2007 00:02:00','01/02/2007 00:04:00','02/02/2007 00:02:00','02/02/2007 00:04:00']
x = pd.to_datetime(dates, format='%d/%m/%Y %H:%M:%S')
x_d = np.array(['Mon','Tue','Wed','Thu','Fri','Sat', 'Sun'])[x.dayofweek]
y = [0.32,0.33,0.32,0.34]
ser = pd.Series(y, index=x_d)
ser.plot()

enter image description here

Upvotes: 1

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