Reputation: 6587
I have the following dataframe and am trying to plot it, so that it shows in the x-axis the index data from 8-19.
If I do df.plot()
no labels are shown at all. If I do df.plot(use_index=True)
, the behaviour is unchanged. Finally I tried df.plot(xticks=df.index)
but I'm getting an error AttributeError: 'NoneType' object has no attribute 'seq'
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
null = np.nan
df = pd.DataFrame.from_dict({"today sensor 1": {"08": 22.9, "09": 22.7, "10": 22.8, "11": 23.6, "12": 24.1, "13": 24.9,
"14": 25.0, "15": 25.2, "16": 25.7, "17": 26.1, "18": 26.0, "19": 25.8},
"today sensor 2": {"08": 24.5, "09": 24.5, "10": 24.8, "11": 25.3, "12": 26.4, "13": 26.7,
"14": 27.1, "15": 27.6, "16": 28.0, "17": 28.0, "18": 28.2, "19": 28.0},
"yesterday sensor 1": {"08": null, "09": null, "10": null, "11": null, "12": null, "13": null,
"14": null, "15": null, "16": 23.0, "17": 23.6, "18": 23.5, "19": 23.5},
"yesterday sensor 2": {"08": null, "09": null, "10": null, "11": null, "12": null, "13": null,
"14": null, "15": null, "16": 24.8, "17": 24.9, "18": 24.9, "19": 24.8}})
# df.plot(use_index=True) # does not work
df.plot(xticks=df.index)
plt.show()
What is even more strange is that when I do this:
ax = df.plot(use_index=True, style=['bs-', 'go-', 'b:', 'g:'])
ax.set_xticklabels(df.index)
plt.show()
The xticks will show but they are wrong. Only numbers from 9-14 are snown and every other number only. I would expect 08-19 as xticks.
Any suggestions are appreciated.
Upvotes: 10
Views: 19858
Reputation: 1336
Until the bug in Pandas gets fixed, add this after df.plot(), no need for anything else:
plt.xticks(range(len(df.index)), df.index)
Upvotes: 10
Reputation: 474
Pandas version 0.24 for Python 3.6 (Windows) fixed this problem for me.
Upvotes: 1
Reputation: 13437
If you want to have string as xticks one possible solution is:
df = df.reset_index()
df = df.rename(columns={"index":"hour"})
ax = df.plot(xticks=df.index)
ax.set_xticklabels(df["hour"]);
Upvotes: 10