You cannot convert an empty string ('') to a float, as written in the error message. You have to convert this empty string to a float-like value beforehand: df_tmp['rain_1h'] = df_tmp['rain_1h'].replace('', '0').astype(float) for instance.

Answer from luca on Stack Overflow
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Reddit
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r/learnpython on Reddit: Python pandas - can't convert string to float (I think b/c of multiple data types in column...)
July 17, 2022 -

I want to do some math on a dataframe but (I think) can't get one column/series into the necessary format. The column contains strings; some are '.123' while others are '0'. When I attempt the math on the column of strings by converting everything to an integer like so:

dfteam1['cloff'] = dfteam1.cloff.astype(int)

I get the following error

ValueError: invalid literal for int() with base 10: '.123'

I think it's b/c .123 isn't an integer but a float, so I change the code like so:

dfteam1['cloff'] = dfteam1.cloff.astype(float)

now I get the following error

ValueError: could not convert string to float:

I think it's b/c 0 isn't a float but an integer? Do I need to change all the 0 values to 0.00 or am I completely off base? All feedback is welcome.

Discussions

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June 6, 2024 - Hi to everybody, In pandas I want to convert a string column in a float one, but I get all the time the same error message: could not convert string to float: โ€˜โ€™ The content of this column is the following: 2019-08-06T16:47:07.508 So I replaced โ€œ-โ€, โ€œTโ€, โ€œ:โ€ and โ€œ.โ€ with following code: climbing[โ€œUTC timeโ€] = climbing[โ€œUTC timeโ€].replace(โ€œ-โ€, โ€œโ€, regex=True) climbing[โ€œUTC timeโ€] = climbing[โ€œUTC timeโ€].replace(โ€œ:โ€, โ€œโ€, regex=True) climbing[โ€œUTC timeโ€] = climbing[โ€œUTC timeโ€].replace(โ€œ.โ€, โ€œโ€,...
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1 of 2
1

The following would be useful,

print (heterozygosity_df.columns)

This looks like static typing issue within pandas. What I suspect is heterozygosity_df.['chrI'] is a column in the dataframe. What I think has happened is there's a mix of strings and floats within this column. pandas has set this as a "string" but you are wanting to perform numerical operations. Thus the solution is simply

print(heterozygosity_df.dtypes) # this should state 'chrI' is a "category" or "string"
heterozygosity_df['chrI'] = heterozygosity_df['chrI'].astype(float)
print(heterozygosity_df.dtypes)

If you have multiple changes the syntax is

heterozygosity_df = heterozygosity_df.astype({'chrI':'float', 'egColumn':'category'})

I suspect there will be other errors, e.g. the header is the first row of the data column. This is because again for pandas to automatically assign a column to a "string" means there must be a string value within the column.


From the comments. I see whats happening. The easy solution is ...

replacement = {
    "chrI": 1,
    "chrII": 2,
    "chrIII": 3,
    "chrIV": 4,
    ....
}

heterozygosity_df['chr'] = heterozygosity_df['chr'].str.replace(replacement, regex=True)

From the comments ... good it works ... this is what I would have personally done ..

replacement = {
    "chrI": 1,
    "chrII": 2,
    "chrIII": 3,
    "chrIV": 4, # continue for all chromosomes
}

heterozygosity_df = pd.read_csv("file.tsv", sep="\t", header=None).set_axis(['chr', 'pos', 'het'], axis=1, copy=False)
heterozygosity_df['chr'] = heterozygosity_df['chr'].str.replace(replacement, regex=True).astype('int')

Normally str should be in place because when 'chr' is imported its an object. However, if it works thats the only thing that counts.

2 of 2
2

Ah! I finally got it to work! I used your command but I had to change it up a little bit to work with my data. The final command I used is this:

replacement = {
    "chrI": 1,
    "chrII": 2,
    "chrIII": 3,
    "chrIV": 4,
    "chrV": 5,
    "chrVI": 6,
    "chrVII": 7,
    "chrVIII": 8,
    "chrIX": 9,
    "chrX": 10,
    "chrXI": 11,
    "chrXII": 12,
    "chrXIII": 13,
    "chrXIV": 14,
    "chrXV": 15,
    "chrXVI": 16,
    "chrmt": 17
}

heterozygosity_df['chr'] = heterozygosity_df['chr'].replace(replacement, regex=False)

And with that I was able to generate plots showing all of the chromosomes! (I have to figure out how to change the axis labels from 1,2,3,4...10 back to the chromosome but that's a future problem). Thank you so much for all your help!!

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