我无法在 pycharm 和 spyder 上运行 streamlit。我在窗口上运行最新的 python 版本。当我尝试代码时，它说语法无效

Posted 2023-03-11

【中文标题】我无法在 pycharm 和 spyder 上运行 streamlit。我在窗口上运行最新的 python 版本。当我尝试代码时，它说语法无效

【英文标题】：I am unable to run streamlit on pycharm and spyder. I am running the latest python version on window.When I try what the code ,it says invalid syntax

【发布时间】：2021-10-06 08:58:45

【问题描述】：

#此代码用于在浏览器中打开streamlit

导入流光 导入 streamlit 作为 st 将熊猫导入为 pd 从 FPL 导入 predict_team，get_overview_data，extract_player_roster， extract_teams_data，extract_player_types 将 matplotlib.pyplot 导入为 plt 将 numpy 导入为 np pd.options.display.float_format = ":,.2f".format

def get_team_limit(max_players_from_team):
    max_players_from_team['ARS'] = int(st.text_input('ARS:', 3))
    max_players_from_team['AVL'] = int(st.text_input('AVL:', 3))
    max_players_from_team['BHA'] = int(st.text_input('BHA:', 3))
    max_players_from_team['BUR'] = int(st.text_input('BUR:', 3))
    max_players_from_team['CHE'] = int(st.text_input('CHE:', 3))
    max_players_from_team['CRY'] = int(st.text_input('CRY:', 3))
    max_players_from_team['EVE'] = int(st.text_input('EVE:', 3))
    max_players_from_team['FUL'] = int(st.text_input('FUL:', 3))
    max_players_from_team['LEE'] = int(st.text_input('LEE:', 3))
    max_players_from_team['LEI'] = int(st.text_input('LEI:', 3))
    max_players_from_team['LIV'] = int(st.text_input('LIV:', 3))
    max_players_from_team['MCI'] = int(st.text_input('MCI:', 3))
    max_players_from_team['MUN'] = int(st.text_input('MUN:', 3))
    max_players_from_team['NEW'] = int(st.text_input('NEW:', 3))
    max_players_from_team['SHU'] = int(st.text_input('SHU:', 3))
    max_players_from_team['SOU'] = int(st.text_input('SOU:', 3))
    max_players_from_team['TOT'] = int(st.text_input('TOT:', 3))
    max_players_from_team['WBA'] = int(st.text_input('WBA:', 3))
    max_players_from_team['WHU'] = int(st.text_input('WHU:', 3))
    max_players_from_team['WOL'] = int(st.text_input('WOL:', 3))

    return max_players_from_team


st.markdown("<h1 style='text-align: center;'>Welcome to FPL TeamMaker</h1>", \
            unsafe_allow_html=True)
st.markdown("<h3 style='text-align: center;'>Use Data Science to build your \
            team and win!</h3>", unsafe_allow_html=True)

transfer = False
wildcard = False
gw = 1
budget = 1000
old_data_weight = 0.4
new_data_weight = 0.6
form_weight = 0.5
max_players_from_team = 
current_team = []
num_transfers = 1


gw = int(st.text_input('Enter the Gameweek you want to make team for:', '1'))
if gw == 1:
    st.write('Starting below, please provide how many players you want from each team.\
        Use this in cases when a particular team does not have a fixture for the week.')
    max_players_from_team = get_team_limit(max_players_from_team)

elif gw > 1 and gw <= 4:
    transfer_or_wildcard = st.radio('Select your mode of team making:', ('Transfer',\
                                'New Team / Wildcard'))
    if transfer_or_wildcard == 'Transfer':
        transfer = True
    else:
        wildcard = True

    old_data_weight = float(st.text_input('Enter the weight you want to give to last \
                                season\'s  data (0-1.0):', 0.4))
    new_data_weight = float(st.text_input('Enter the weight you want to give to current \
                                season\'s  data (0-1.0):', 0.6))
    form_weight = float(st.text_input('Enter the weight you want to give to player form \
                            (0-1.0):', 0.5))
    budget = float(st.text_input('Enter your budget x 10 (For transfers, enter \
                                 the leftover budget using current team):', 1000))

    if transfer:
        num_transfers = int(st.text_input('Enter the number of transfers to be made:', 1))
        overview_data_json = get_overview_data()
        teams_df = extract_teams_data(overview_data_json)
        player_types_df = extract_player_types(overview_data_json)
        player_df = extract_player_roster(overview_data_json, player_types_df, teams_df)
        player_df = player_df[['code', 'first_name', 'second_name', 'team_code']]
        players = st.write('Please look at the list below and enter a comma \
                                 separated list of player codes you have in your team. \
                                 Note that they are ordered alphabetically by team name.', \
                                 player_df)
        try:
            current_team = st.text_input('')
            current_team = list(map(int, current_team.split(',')))
        except:
            st.error('Please enter an input above')

    else:
        st.write('Starting below, please provide how many players you want from each team.\
        Use this in cases when a particular team does not have a fixture for the week.')
        max_players_from_team = get_team_limit(max_players_from_team)

elif gw > 4 and gw <=38:
    transfer_or_wildcard = st.radio('Select your mode of team making:', ('Transfer',\
                                'New Team / Wildcard'))
    if transfer_or_wildcard == 'Transfer':
        transfer = True
    else:
        wildcard = True


    form_weight = float(st.text_input('Enter the weight you want to give to player form \
                            (0-1.0):', 0.5))
    budget = float(st.text_input('Enter your budget x 10 (For transfers, enter \
                                 the leftover budget using current team):', 1000))

    if transfer:
        num_transfers = int(st.text_input('Enter the number of transfers to be made:', 1))
        overview_data_json = get_overview_data()
        teams_df = extract_teams_data(overview_data_json)
        player_types_df = extract_player_types(overview_data_json)
        player_df = extract_player_roster(overview_data_json, player_types_df, teams_df)
        player_df = player_df[['code', 'first_name', 'second_name', 'team_code']]
        players = st.write('Please look at the list below and enter a comma \
                                 separated list of player codes you have in your team. \
                                 Note that they are ordered alphabetically by team name.', \
                                 player_df)
        try:
            current_team = st.text_input('')
            current_team = list(map(int, current_team.split(',')))
        except:
            st.error('Please enter an input above')

    else:
        st.write('Starting below, please provide how many players you want from each team.\
        Use this in cases when a particular team does not have a fixture for the week.')
        max_players_from_team = get_team_limit(max_players_from_team)

if st.button('Get Team'):

    if gw > 38:
        st.error('Enter correct GW')

    team, points, cost = predict_team(transfer, wildcard, gw, budget, old_data_weight, \
                 new_data_weight, form_weight, max_players_from_team, \
                 current_team, num_transfers)
    team['Cost'] /= 10
    team = team.rename(columns = "First": "First Name", "Second": "Second Name")
    if len(team) > 0:
        st.write(team)
        st.write('Total points of whole team:', points)
        st.write('Cost of the team:', cost)
    else:
        st.info('Please use this feature after GW4 has completed')


st.markdown("<h1 style='text-align: center;'>Visualization of Results</h1>", unsafe_allow_html=True)


bot101_points = np.array([0, 84, 133, 180, 222, 294, 349, 401, 470\
, 551, 593, 662, 723, 774, 866, 914, 965, 1028, 1070\
,  1151, 1196, 1268, 1352, 1403, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

average_points = np.array([0, 50, 109, 152, 200, 260, 308, 361, 416\
, 471, 515, 577, 628, 670, 730, 771, 808, 864, 894\
, 968, 1010, 1058, 1115, 1173, np.nan, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

bot101_rank = np.array([0, 0.175178, 0.881887, 0.797683, 1.412642, 1.056323, 0.915314, 1.0164, 0.785028\
, 0.378354, 0.515661, 0.522446, 0.495127, 0.426231, 0.218577, 0.226317, 0.191098, 0.204354, 0.219032\
, 0.302307, 0.318217, 0.224458, 0.183696, 0.275990, np.nan, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

bot101_gwrank = np.array([0, 0.175178, 4.534625, 1.174666, 4.348521, 1.728420, 2.062787, 3.960282, 1.105014\
, 0.247396, 2.6096, 2.559066, 1.815474, 1.603100, 0.178608, 2.406347, 0.969028, 2.743019, 1.780634\
, 2.626326, 2.934196, 0.699079, 0.497828, 5.061059, np.nan, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

bot101_gw_points = np.array([0, 84, 49, 55, 42, 72, 55, 52, 69, 81, 50, 69, 61, 51, 92, 48, 51, 63, \
42, 81, 45, 72, 88, 55, np.nan, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

bot101_gw_avg_points = np.array([0, 50, 59, 43, 48, 60, 48, 53, 55, 55, 44, 62, 51, 42, 60, 41, 37, \
56, 30, 74, 42, 48, 57, 58, np.nan, np.nan, np.nan, np.nan, np.nan\
, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan, np.nan])

gameweeks = [i for i in range(0, 39)]

ax = plt.gca()
ax.set_xlim(0,39)
plt.plot(gameweeks, bot101_points, label = 'Cumulative Team Points')
plt.plot(gameweeks, average_points, label = 'Cumulative Average Points')
plt.xlabel('Gameweeks')
plt.ylabel('Total Points')
plt.title('Total Points Viewed per Week')
plt.legend()
plt.locator_params(axis="x", nbins=38)
st.pyplot()

ax = plt.gca()
ax.invert_yaxis()
ax.ticklabel_format(useOffset=False, style = 'plain')
plt.locator_params(axis="y", nbins=20)
plt.locator_params(axis="x", nbins=38)

ax.set_xlim(0,39)
plt.plot(gameweeks, bot101_rank, label = 'Overall Rank')
plt.plot(gameweeks, bot101_gwrank, label = 'GW Rank')
plt.xlabel('Gameweeks')
plt.ylabel('Ranking (in millions)')
plt.title('Overall vs GW Rank')
plt.legend()
st.pyplot()

ax = plt.gca()
ax.set_xlim(0,39)
plt.plot(gameweeks, bot101_gw_points, label = 'Team Points per Gameweek')
plt.plot(gameweeks, bot101_gw_avg_points, label = 'Average Points per Gameweek')
plt.xlabel('Gameweeks')
plt.ylabel('Points')
plt.title('Points per Week')
plt.legend()
plt.locator_params(axis="x", nbins=38)


st.pyplot()

#THIS IS HOW THE PROGRAM RESPONDS
#OUTPUT:

#Warning: to view this Streamlit app on a browser, run it with the following
  #command:

    #streamlit run C:/Users/HP/PycharmProjects/pythonProject/app.py [ARGUMENTS]

【参考方案1】：

您的代码运行良好（我在下面附上的本地屏幕截图中运行）。

你没有提到你是如何运行代码的，所以我假设你是通过 spyder 或 pycham 上的运行按钮运行的。所以，基本上这些按钮运行命令“python filename”。虽然在运行之前需要编译一个 stramlit 应用程序，但请转到您的终端并运行命令 streamlit run ***filename.py***

所以基本上代码需要使用 streamlit 命令而不是 python 来运行。希望这会奏效。

【参考方案2】：

运行这个命令：streamlit run app.py

【讨论】：

一个好的答案将始终包括解释为什么这会解决问题，以便 OP 和任何未来的读者可以从中学习。

【参考方案3】：

按照以下步骤操作：

打开命令提示符 cd（将目录更改为您的项目文件夹） 然后输入streamlit run app.py（用你的python文件名更改app.py）