Here is the data:
o h l c
Time
2018-10-12 09:35:00 1.15868 1.15890 1.15868 1.15884
2018-10-12 09:36:00 1.15887 1.15889 1.15869 1.15869
2018-10-12 09:37:00 1.15869 1.15890 1.15869 1.15883
2018-10-12 09:38:00 1.15883 1.15894 1.15881 1.15888
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
I am trying to replace the complete row with Nan
values leaving only one. So the final output of the above dataframe must be something like this:
o h l c
Time
nan nan nan nan
nan nan nan nan
nan nan nan nan
nan nan nan nan
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
I tried the following and got error while attempting it:
df.fillna(inplace=True,value=None)
ValueError: must specify a fill method or value
I want to know how i can fill the nan values in place of the first four rows?
Kindly, let me know what I can do.
Use iloc
:
df.iloc[:-1] = np.nan
print (df)
o h l c
Time
2018-10-12 09:35:00 NaN NaN NaN NaN
2018-10-12 09:36:00 NaN NaN NaN NaN
2018-10-12 09:37:00 NaN NaN NaN NaN
2018-10-12 09:38:00 NaN NaN NaN NaN
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
For missing values in index:
df = df.set_index(np.append([np.nan] * (len(df)-1), df.index[-1])).rename_axis(df.index.name)
print (df)
o h l c
Time
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
Another idea:
df1 = pd.DataFrame(index=df.index, columns=df.columns, data=df.iloc[[-1]])
print (df1)
o h l c
Time
2018-10-12 09:35:00 NaN NaN NaN NaN
2018-10-12 09:36:00 NaN NaN NaN NaN
2018-10-12 09:37:00 NaN NaN NaN NaN
2018-10-12 09:38:00 NaN NaN NaN NaN
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
df1 = pd.DataFrame(index=np.append([np.nan] * (len(df)-1), df.index[-1]),
columns=df.columns,
data=df.iloc[[-1]]).rename_axis(df.index.name)
print (df1)
o h l c
Time
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
NaT NaN NaN NaN NaN
2018-10-12 09:39:00 1.15888 1.15903 1.15887 1.15894
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.