How can I create an empty dataframe in python such that the test df.empty
results True
?
I tried this:
df = pd.DataFrame(np.empty((1, 1)))
and df.empty
results in False
.
You can create an empty dataframe by importing pandas from the python library. Later, using the pd. DataFrame(), create an empty dataframe without rows and columns as shown in the below example.
Fill Data in an Empty Pandas DataFrame by Appending Rows First, create an empty DataFrame with column names and then append rows one by one. The append() method can also append rows. When creating an empty DataFrame with column names and row indices, we can fill data in rows using the loc() method.
Use pandas. DataFrame() to create an empty DataFrame with column names. Call pandas. DataFrame(columns = column_names) with column set to a list of strings column_names to create an empty DataFrame with column_names .
The simplest is pd.DataFrame()
:
df = pd.DataFrame()
df.empty
# True
If you want create a data frame of specify number of columns:
df = pd.DataFrame(columns=['A', 'B'])
df.empty
# True
Besides, an array of shape (1, 1) is not empty (it has one row), which is the reason you get empty = False, in order to create an empty array, it needs to be of shape (0, n):
df = pd.DataFrame(pd.np.empty((0, 3)))
df.empty
# True
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