python type_error ai_generated true

TypeError: float() argument must be a string or a real number, not 'datetime.datetime'

ID: python/matplotlib-date-converter-error

Also available as: JSON · Markdown · 中文
80%Fix Rate
85%Confidence
0Evidence
2024-04-09First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

Passing naive datetime objects directly to plot() without registering a date converter, or mixing datetime with numeric on the same axis.

generic

中文

在未注册日期转换器的情况下将 naive datetime 对象直接传给 plot()，或在同一轴上混用 datetime 与数值。

Workarounds

  1. 94% success 
    import matplotlib.dates as mdates
dates = mdates.date2num(dt_list)
ax.plot(dates, values)
ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))
  2. 90% success 
    import pandas as pd
pd.plotting.register_matplotlib_converters()
ax.plot(df['date'], df['value'])

Dead Ends

Common approaches that don't work:

  1. 75% fail

    Strings become categorical labels, destroying the time axis ordering and tick formatting.

  2. 60% fail

    Mixing converted and unconverted series still triggers the float() error on the unconverted one.