Alice - 3 months ago 7

Python Question

I have a csv file and I have to compute the mean for some of the columns.

That's how I did:

`file=csv.reader(open('tab.csv','r'))`

n=[]

for row in file:

n.append(row[8])

So I have a list of string : n=['','','1.58'...]

How can I convert these to float?

I tried with :

`n_values=np.array(n)`

n_values[n=='']='0'

values=n_values.astype(np.float)

np.mean(values)

But the mean is not correct because I should skip the empty strings not counting.

Thank for your help!

Answer

Just cast as you append:

```
n.append(float(row[8]))
```

If there are empty strings catch those before appending.

```
try:
n.append(float(row[8]))
except ValueError:
continue
```

Or you might want to try pandas, in particular pandas.read_csv:

```
import pandas as pd
df = pd.read_csv("in.csv")
print(df["col_name"].mean())
```

Source (Stackoverflow)

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