Here’s a one line solution to remove columns based on duplicate column names: How it works: Suppose the columns of the data frame are [‘alpha’,’beta’,’alpha’] df.columns.duplicated() returns a boolean array: a True or False for each column. If it is False then the column name is unique up to that point, if it is True then the column name is duplicated earlier. For example, using the … Read more
You can first select by iloc and then sum: For sum all columns use:
What you want to do is actually again a groupby (on the result of the first groupby): sort and take the first three elements per group. Starting from the result of the first groupby: We group by the first level of the index: Then we want to sort (‘order’) each group and take the first … Read more
sorted(iterable): Return a new sorted list from the items in iterable. CODE OUTPUT
Apparently the error I got when trying to import pandas for the first time was ValueError: unknown locale: UTF-8 Trying to import again afterwards, gave another error as described in my question above. I found the solution to solve the ValueError on IPython Notebook locale error After updating my bash profile, the error AttributeError: module ‘pandas’ has no attribute ‘core’ did … Read more
You can specify a python write mode in the pandas to_csv function. For append it is ‘a’. In your case: The default mode is ‘w’.
The f format code in “{:.0f}”.format(Number) for the Python string formatter requires a floating number, and yet you’re passing to it the variable Number, which is derived from dsa[‘Number’], a string value from the dataframe. You should convert Number to a floating number before passing it to the formatter with “{:.0f}”.format(float(Number)) instead.
use combine_first():
I meet this error and I found a method to solve it. My pandas and pandas_datareader versions are 0.23 and 0.6. Because the is_list_like is moved to pandas.api.types, I change the fred.py file which is highlighted in the picture. I replace from pandas.core.common import is_list_like with from pandas.api.types import is_list_like, and it works.
There is no str accessor for datetimes and you can’t do dates.astype(str) either, you can call apply and use datetime.strftime: You can change the format of your date strings using whatever you like: strftime() and strptime() Behavior. Update As of version 0.17.0 you can do this using dt.strftime will now work