TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'

Please have a look I converted the timezone using this code:

import pandas as pd
import matplotlib.pyplot as plt

#2016-10-20 03:43:11+00:00
tweets_df = pd.read_csv('valid_tweets.csv')

tweets_df['Time'] = pd.Index(pd.to_datetime(tweets_df['Time'], utc=True)).tz_localize('UTC').tz_convert('US/Eastern')

tweets_df.to_csv('converted_timezone_tweets.csv', index=False)

Then I used it in this code:

import pandas as pd
import matplotlib.pyplot as plt


time_interval = pd.offsets.Second(10)

fig, ax = plt.subplots(figsize=(6, 3.5))

ax = (
    pd.read_csv('converted_timezone_tweets.csv', engine='python', parse_dates=['Time'])
          .resample(time_interval, on='Time')['ID']
          .count()
          .plot.line(ax=ax)
)

plt.show()

I get

https://stackoverflow.com/questions/48389030/pd-read-csv-fails-after-converting-the-timezone
/scratch/sjn/anaconda/bin/python /scratch2/debate_tweets/temporal_analysis.py
Traceback (most recent call last):
  File "/scratch2/debate_tweets/temporal_analysis.py", line 11, in <module>
    .resample(time_interval, on='Time')['ID']
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/pandas/core/generic.py", line 4729, in resample
    base=base, key=on, level=level)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/pandas/core/resample.py", line 969, in resample
    return tg._get_resampler(obj, kind=kind)
  File "/scratch/sjn/anaconda/lib/python3.6/site-packages/pandas/core/resample.py", line 1091, in _get_resampler
    "but got an instance of %r" % type(ax).__name__)
TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Index'

Process finished with exit code 1

pandas version 0.20.3 and in CentOS 7.

[jreback]

this is not reproducible and better asked on SO. The message is clear, you don’t have the proper index.

[chris-b1]

Guessing - you probably have some kind of embedded line break in your data, try the solution here https://github.com/pandas-dev/pandas/issues/11166#issuecomment-142465152 or please make a runnable reproduction in the issue - something I can copy and paste and run - either attach the actual file to the issue, or use StringIO with dummy data.