Python read_file Examples

Example #1

def to_space(filename, filename_txt):
    df = count_lines.read_file(filename)
    city = list(df["city"])
    town = list(df["town"])
    newtext = open(filename_txt, "w", encoding="utf-8")

    # 文字と文字の間をspaceにして新しいテキストに記載
    for i in range(len(df)):
        newtext.write(str(city[i]) + " " + str(town[i]) + "\n")
    newtext.close()

    return newtext

Example #2

File: extract_mnraws.py Project: h-sakatani/rinkou

def extract_fromm_ton(file, newfilename, mlines, nlines):

    df = count_lines.read_file(filename)
    city = list(df["city"])
    town = list(df["town"])
    newtext = open(newfilename, "w", encoding="utf-8")

    for i in range(mlines, nlines):
        newtext.write(str(city[i])+" "+str(i)+"\n")
        print(str(city[i])+" "+str(town[i])+"\n")
    newtext.close()

    return newtext

Example #3

def extract_first_column(filename, newfilename):
    df = count_lines.read_file(filename)
    city = list(df["city"])
    city_list = list(set(city))  #  重複を除く

    newtext = open(newfilename, "w", encoding="utf-8")

    for i in range(len(city_list)):
        newtext.write(str(city_list[i]) + "\n")
        print(str(city_list[i]) + "\n")
    newtext.close()

    return newtext

Example #4

def extract_lines(filename, fromnline, newfilename):
    df = count_lines.read_file(filename)
    city = list(df["city"])
    town = list(df["town"])

    newtext = open(newfilename, "w", encoding="utf-8")

    # n番目までのデータを表示して新しいテキストに書き込む
    for i in range(fromnline):
        newtext.write(str(city[i]) + " " + str(town[i]) + "\n")
        print(str(city[i]) + " " + str(town[i]) + "\n")
    newtext.close()

    return newtext

Example #5

File: pandas_caliculate_frequency.py Project: h-sakatani/rinkou

def frequency(filename, newfilename):
    df = count_lines.read_file(filename)
    vc = df["town"].value_counts()
    total = len(vc)

    text = open(newfilename, "w", encoding="utf-8")

    for i in range(total):
        frequency = vc[i] / total
        print(vc.index[i] + " :frequency is" + str(frequency))
        text.write(vc.index[i] + ": frequency is " + str(frequency) + "\n")
    text.close()

    return text

Example #6

File: last_nrows.py Project: h-sakatani/rinkou

def extract_lastnlines(filename, toline, newfilename):
    df = count_lines.read_file(filename)
    city = list(df["city"])
    town = list(df["town"])

    newtext = open(newfilename, "w", encoding="utf-8")

    #  countでは最後から数えるのでマイナスを指定し、rangeは0からの範囲なので-1して後ろから数えるように指定
    for i in range(nlines):
        count = -(i + 1)
        newtext.write(str(city[count]) + " " + str(town[count]) + "\n")
        print(str(city[count]) + " " + str(town[count]) + "\n")
    newtext.close()

    return newtext

Example #7

File: pandas_extract_first_column.py Project: h-sakatani/rinkou

def extract_first_list(filename, newfilename):
    df = count_lines.read_file(filename)
    cities = df["city"].unique()
    with open(newfilename, mode="w") as f:
        f.write('\n'.join(cities))
    return cities

Example #8

File: pandas_extract_mnraws.py Project: h-sakatani/rinkou

def extract_lines(filename, fromline, toline):
    df = count_lines.read_file(filename)
    print(df[fromline:toline])
    extractlines = df[fromline:toline] 
    return extractlines

Example #9

File: count_string.py Project: h-sakatani/rinkou

def count_cities(filename):
    df = count_lines.read_file(filename)
    cities = list(df["city"])
    dict_cities = count_string(cities)
    return dict_cities

Example #10

File: pandas_count_string.py Project: h-sakatani/rinkou

def count_string(filename):
    df = count_lines.read_file(filename)
    vc = df["city"].value_counts()
    return vc

Example #11

def extract_lines(filename, fromnline):
    df = count_lines.read_file(filename)
    nrows = df.tail(fromnline)
    return nrows