AttributeError: 'tuple' object has no attribute 'set_xlim' matplotlib python

Question

I am trying to plot plot hist with dates in x axes and adjust dates. My code is

    ax=plt.hist(df[ (df['disease']==1) & (df['FARM_NUM']==1282000)]['DATE'],bins=20)
   ax.set_xlim([datetime.date(2020, 3, 15), datetime.date(2021, 7, 1)])
   plt.xticks(rotation=90)
   plt.show()

and I get an error:

AttributeError: 'tuple' object has no attribute 'set_xlim'

What am I doing wrong? thx

plt.hist obviously returns a tuple. What object were you expecting? — jackal
– jackal, Commented Apr 14, 2022 at 6:51
Have you tried defining the axis object and use it subsequently fig, ax = plt.subplots(); ax.hist(....? You may also want to read about the differences between pyplot and OOP. — Mr. T
– Mr. T, Commented Apr 14, 2022 at 7:14

Chinmay K · Accepted Answer · 2022-04-14 06:54:36Z

2

plt.hist does not return the axis, it returns the bins of the histogram and other metadata. Just call xlim on plt itself.

plt.xlim(left=leftValue, right=rightValue)

Caution: This solves the problem when the axes has numbers... I do not know how it will behave with dates. Check the xlim docs of the best explanation.

answered Apr 14, 2022 at 6:54

Chinmay K

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Zero · Accepted Answer · 2022-04-14 07:07:24Z

0

Use plt.xlim instead.

plt.hist(df[ (df['disease']==1) & (df['FARM_NUM']==1282000)]['DATE'],bins=20)
plt.xlim([datetime.date(2020, 3, 15), datetime.date(2021, 7, 1)])
plt.xticks(rotation=90)
plt.show()

This is the code I tested this on:

import numpy as np
nums = np.random.randint(1, 4, 100)

plt.figure(figsize = (20,5))
plt.hist(nums)
plt.xlim(left = 1, right = 5)
plt.xticks(roation = 90)
plt.show()

edited Apr 14, 2022 at 7:07

answered Apr 14, 2022 at 7:00

Zero

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1 Comment

Zero Over a year ago

Can you share the dataframe you are working on?

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