I'm trying to write a dataframe file to a csv using pandas. I'm getting the following error AttributeError: 'list' object has no attribute 'to_csv'. I believe I'm writing the syntax correctly, but could anyone point out where my syntax is incorrect in trying to write a dataframe to a csv?
This is link the link of the file: https://s22.q4cdn.com/351912490/files/doc_financials/quarter_spanish/2018/2018.02.25_Release-4Q18_ingl%C3%A9s.pdf
Thanks for your time!
import tabula
from tabula import read_pdf
import pandas as pd
from pandas import read_json, read_csv
a = read_pdf(r"C:\Users\Emege\Desktop\micro 1 true\earnings_release.pdf",\
multiple_tables= True, pages = 15, output_format = "csv",\
)
print(a)
a.to_csv("a.csv",header = False, index = False, encoding = "utf-8")
enter image description here
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I have an url: https://api.kite.trade/instruments
And this is my code to fetched data from url and write into excel
import pandas as pd
url = "https://api.kite.trade/instruments"
df = pd.read_json(url)
df.to_excel("file.xlsx")
print("Program executed successfully")
but, when I run this program I'm getting error like this_
AttributeError: partially initialized module 'pandas' has no attribute 'read_json' (most likely due to a circular import)
It's not a json, it's csv. So you need to use read_csv. Can you please try this?
import pandas as pd
url = "https://api.kite.trade/instruments"
df = pd.read_csv(url)
df.to_excel("file.xlsx",index=False)
print("Program excuted successfully")
I added an example how I converted the text to a csv dump on your local drive.
import requests
url = "https://api.kite.trade/instruments"
filename = 'test.csv'
f = open(filename, 'w')
response = requests.get(url)
f.write(response.text)
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_excel('file name', fillna=0, header = 0)
The error comes out like this below.
TypeError: read_excel() got an unexpected keyword argument 'fillna'
How to solve this one?
There is used bad argument, I guess you want chain after read_excel for convert all missing values to 0:
df = pd.read_excel('file name', header = 0).fillna(0)
I am trying to upload and show a dataframe by flask and when I want to show it, it says
AttributeError: 'builtin_function_or_method' object has no attribute 'replace'.
I found this code on YT and I don't know if it is correct. Can somebody help me?
from flask import Flask, render_template, request
from werkzeug.utils import secure_filename
import pandas as pd
import csv
def reencode(file):
for line in file:
yield line.decode('windows-1250').encode('utf-8')
#app.route("/data")
def data():
df = pd.read_csv("Sistema_de_Stock.csv", encoding='latin-1')
df = df.drop(df.loc['stock al cargar':].columns, axis=1)
df.to_html('data.html')
with open("data.html", 'r', encoding='latin-1') as file:
file = file.read
**file = file.replace("<table","<table class='rwd-table'")**
with open("data.html","w") as file_write:
file_write.write(html + file)
data = os.startfile("data.html")
return data
file.read is a method, so you should call the method. Furthermore you might want to rename the variable to make it clear that this is not a file handler:
with open('data.html', 'r', encoding='latin-1') as file:
# call the method ↓
file_data = file.read().replace('<table', "<table class='rwd-table'")
with open('data.html', 'w') as file_write:
file_write.write(html + file_data)
data = os.startfile('data.html')
Iam using rpy2 to get comorbidity Index of patients , i got the results but iam not able to convert those output to pandas Dataframe
below is the code
#creating Datframe
data = {"person_id":[1,1,1,2,2,3],
"dx_1":["F11","E40","","F32","C77","G10"],
"dx_2":["F1P","E400","","F322","C737",""]}
#converting Pandas Dataframe to R Datframe using rpy2
import rpy2
from rpy2.robjects import pandas2ri
import rpy2.robjects.numpy2ri
from rpy2.robjects.packages import importr
r_dataframe = pandas2ri.py2ri(df1)
print(r_dataframe)
#installing 'comorbidity ' package using rpy2
R = rpy2.robjects.r
DTW = importr('comorbidity')
#executing comorbidity function by using one column icd_1
output = DTW.comorbidity(x = r_dataframe, id = "person_id", code = "icd_1",
score = "charlson", assign0 = False,
icd = "icd10")
print(output)
but not able to convert output to pandas dataframe
import rpy2, rpy2.robjects as robjects, rpy2.robjects.packages as rpackages
from rpy2.robjects.vectors import StrVector
#Converting data frames back and forth between rpy2 and pandas
from rpy2.robjects import r, pandas2ri
#convert output to pandas dataframe
pandas2ri.ri2py_dataframe(output)
getting below error
TypeError: Parameter 'categories' must be list-like, was
please help
Thanks in advance
i need to read a string like csv content with pandas , but pandas get some errors, i don't knonw what happened, can anyone help me?
import pandas as pd
import io
s = ',测试项,信息,结果\r\n0,软件测试机型805,软件测试机型805,PASS\r\n1,软件当前版本1,软件当前版本1,FAIL\r\n2,软件测试机型805,软件测试机型805,PASS\r\n3,软件当前版本1,软件当前版本1,FAIL\r\n4,软件测试机型805,软件测试机型805,PASS\r\n5,软件当前版本1,软件当前版本1,FAIL\r\n'
buf = io.StringIO()
buf.write(s)
df = pd.read_csv(buf)
got error, EmptyDataError: No columns to parse from file
老铁你拿去
import pandas as pd
import io
s = ',测试项,信息,结果\r\n0,软件测试机型805,软件测试机型805,PASS\r\n1,软件当前版本1,软件当前版本1,FAIL\r\n2,软件测试机型805,软件测试机型805,PASS\r\n3,软件当前版本1,软件当前版本1,FAIL\r\n4,软件测试机型805,软件测试机型805,PASS\r\n5,软件当前版本1,软件当前版本1,FAIL\r\n'
buf = io.StringIO()
buf.write(s)
buf.seek(0)
df = pd.read_csv(buf)
``