I have the following when I print my data structure:
print(speed_tf)
44.0 -24.4
45.0 -12.2
46.0 -12.2
47.0 -12.2
48.0 -12.2
Name: Speed, dtype: float64
I believe this is a pandas Series but not sure
I do not want the first column at all I just want
-24.4
-12.2
-12.2
-12.2
-12.2
I tried speed_tf.reset_index()
index Speed
0 44.0 -24.4
1 45.0 -12.2
2 46.0 -12.2
3 47.0 -12.2
4 48.0 -12.2
How can I just get the Speed values with index starting at 0?
In case if you wanted to write a pandas DataFrame to a CSV file without Index, use param index=False in to_csv() method.
get() function to get the value for the passed index label in the given series object. Output : Now we will use Series. get() function to return the value for the passed index label in the given series object.
Use pd. Series. Call pd. Series. item() with the extracted row as pd. Series to extract a value.
pandas DataFrame to CSV with no index can be done by using index=False param of to_csv() method. With this, you can specify ignore index while writing/exporting DataFrame to CSV file.
speed_tf.values
Should do what you want.
Simply use Series.reset_index
and Series.to_frame
:
df = speed_tf.reset_index(drop=True).to_frame()
Result:
# print(df)
Speed
0 -24.4
1 -12.2
2 -12.2
3 -12.2
4 -12.2
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With