How to extract values from pandas Series without index
Question:
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?
Answers:
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
To print only the Speed values, with no indices:
print(speed_tf.to_string(index=False))
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?
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
To print only the Speed values, with no indices:
print(speed_tf.to_string(index=False))