Pandas: convert dtype 'object' to int

Question

I\'ve read an SQL query into Pandas and the values are coming in as dtype \'object\', although they are strings, dates and integers. I am able to convert the date \'object\'

Answer 1

In my case, I had a df with mixed data:

df:
                     0   1   2    ...                  242                  243                  244
0   2020-04-22T04:00:00Z   0   0  ...          3,094,409.5         13,220,425.7          5,449,201.1
1   2020-04-22T06:00:00Z   0   0  ...          3,716,941.5          8,452,012.9          6,541,599.9
....

The floats are actually objects, but I need them to be real floats.

To fix it, referencing @AMC's comment above:

def coerce_to_float(val):
    try:
       return float(val)
    except ValueError:
       return val

df = df.applymap(lambda x: coerce_to_float(x))