#๐ super simple python help , js neewd like 10 seconds of ur time
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@white dawn
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hi
so someone told me to get
this thing where it gives u a progress bar
and i installed it
then ran
for x in tqdm.tqdm(somelist)
acc i didnt run it yet but
where do i put it
like
at the end of my code
under
print('done')
or at the beggining
or like where
@ me if anyones got an answer
what
hi
can you paste your current code
yuh
import pandas as pd
import requests
Read protein names from Excel file
file_path = r'C:\Users\hi\Desktop\2024_07_01_Abreviated final ref_all protein coding genes.xlsx'
df = pd.read_excel(file_path)
protein_names = df['Offical symbol'].unique()
def get_go_annotations(protein_name: str):
l = []
try:
j = requests.get(f"https://rest.uniprot.org/uniprotkb/search?query={protein_name}").json()
for ref in j["results"][0]["uniProtKBCrossReferences"]:
if ref["database"] == "GO" and ref["properties"][0]["value"].split(":")[0] == "F":
l.append(ref["properties"][0]["value"].split(":")[1].split(",")[0])
except Exception as e:
print(f"Error processing {protein_name}: {e}")
return l
Collect all unique GO annotations
all_go_annotations = set()
protein_go_annotations = {}
for protein_name in protein_names:
go_annotations = get_go_annotations(protein_name)
protein_go_annotations[protein_name] = go_annotations
all_go_annotations.update(go_annotations)
all_go_annotations = list(all_go_annotations)
Create the matrix
matrix = pd.DataFrame(0, index=protein_names, columns=all_go_annotations)
for protein_name, go_annotations in protein_go_annotations.items():
for go_annotation in go_annotations:
matrix.at[protein_name, go_annotation] = 1
Save the matrix to a file
matrix.to_csv("go_annotations_matrix.csv")
print("Matrix of GO annotations saved to go_annotations_matrix.csv")
print("done")
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Is it this: https://github.com/tqdm/tqdm?
you did all that but you cant add a progress bar ok
๐ญ
chill
i js dont know where to put it
all i gotta do is
for x in tqdm.tqdm(somelist)
right
I think you need to go manual with something like py with tqdm(total=100) as pbar: for i in range(10): sleep(0.1) pbar.update(10) since you have existing loops
From what I see in the documentation, we can try this:
from tqdm import tqdm
...
for go_annotation in tqdm(go_annotations):
ah ok
he got muted btw
that is probably better than manual
2enom
why
#python-discussion
oh damn
well you definetely wantr something like ```py
for protein_name in tqdm(protein_names):
same thing for all the other for loops
@2emon said thank you
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