接收 'list' 对象没有属性 'groupby' 不知道为什么

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如何解决接收 'list' 对象没有属性 'groupby' 不知道为什么？

def read_data(fileName):
    data = pd.read_csv(fileName)
    newList = []

    columns = ['resource name','county','National Register Date','National Register number','Longitude','Latitude','Georeference']

    for index,row in data.iterrows():
        sub = []
        for col in columns:
            index_no = data.columns.get_loc(col)
            sub.append(row[index_no])
        newList.append(sub)
    return newList
def close_by(data,pt,LOCATIOn,lst,otherLst):
    close_LOCATIOns = []
    long = []
    lati = []
    for i in range(len(data)):
        long.append(float(data[i][4]))
        lati.append(float(data[i][5]))
    close_LOCATIOns = [shapely.geometry.Point(lon,lat) for lon,lat in zip(long,lati)]
    gdf = gpd.GeoDataFrame(data,geometry=close_LOCATIOns,crs={"init":"epsg:4326"})
    pts = gdf.geometry.unary_union
    ptsArray = np.array(pts)
    point_tree = spatial.KDTree(ptsArray)
    query = point_tree.query_ball_point([LOCATIOn.longitude,LOCATIOn.latitude],0.5)
    for i in range(len(query)):
        value = querY[i]
        lst.append(gdf.iloc[value])
        otherLst.append(gdf.iloc[value][0])
    st.write("List of Nearby National Parks")
    st.write(otherLst)

def county_Dict(data):
    countIEs = Dict(data.groupby(['county'])['resource name'].count())
    return countIEs

def bar_chart(countIEs_Dict):
    x = countIEs_Dict.keys()
    y = countIEs_Dict.values()
    plt.bar(x,y)
    plt.xticks(rotation = 45)
    plt.xlabel("county")
    plt.ylabel("Frequency")
    plt.title("Frequency of National Parks By county")
    return plt


def display_map(data,otherLst):
    local = []
    for i in range(len(data)):
        if Data[i][0] in otherLst:
            local.append(data[i][4],data[i][5])
    map_df = pd.DataFrame(local,columns=['resource name','Latitude'])
    vIEw_state = pdk.VIEwState(longitude=map_df['Longitude'].mean(),latitude=map_df['Latitude'].mean(),zoom=10,pitch=0)
    layer = pdk.Layer('ScatterplotLayer',data=map_df,get_position='[Longitude,Latitude]',get_radius = 50,get_color = [0,255,255],pickable=TruE)
    tool_tip = {'HTML': 'resource name:<br/.{resource namE}','style': {'BACkgroundcolor': 'steelblue','color': 'white'}}
    map = pdk.Deck(map_style='mapBox://styles/mapBox/light-b9',initial_vIEw_state=vIEw_state,layers=[layer],tooltip = tool_tip)

    st.pydeck_chart(map)

def main():
    filename = 'National_Register_of_Historic_Places (3).csv'
    data = read_data(fileName)
    st.title("Finding NY National Parks Near You")
    streetNum = st.text_input("Enter your number")
    streetname = st.text_input("Enter Your Street name")
    city = st.text_input("Enter your city")
    lst =[]
    otherLst = []
    geolocator = Nominatim(user_agent="Final_Project_Python")
    LOCATIOn = geolocator.geocode(f"{streetNum} {streetnamE} {City} ")
    pt = Point(LOCATIOn.longitude,LOCATIOn.latitudE)
    close_by(data,otherLst)
    countIEs_Dict = county_Dict(data)
    st.write('Map of Nearby LOCATIOns')
    display_map(data,otherLst)
    st.pyplot(bar_chart(data))



main()

countIEs = Dict(data.groupby(['county'])['resource name'].count())

我有一个包含 ['resource name','Georeference'] 列的数据框。但是，我收到此错误，

'List' 对象没有属性 'groupby'， 尝试按县分组时，即使我已将其指定为字典。

解决方法

return data,newList

dataframe,newList = read_data(fileName)

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